Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique

Offshore structures are exposed to random wave loading in the ocean environment and hence the probability distribution of the extreme values of their response to wave loading is required for their safe and economical design. Wave loading on slender members of bottom-supported jacket structures is fr...

Full description

Saved in:
Bibliographic Details
Main Authors: Abu Husain, M. K., Mohd Zaki, N. I., Mallahzadeh, H., Najafian, G.
Format: Article
Published: Taylor and Francis Ltd. 2016
Subjects:
Online Access:http://eprints.utm.my/id/eprint/72646/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84916897508&doi=10.1080%2f17445302.2014.986877&partnerID=40&md5=d2d702242e38dc023f8aa226685d045d
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.72646
record_format eprints
spelling my.utm.726462017-11-22T12:07:32Z http://eprints.utm.my/id/eprint/72646/ Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique Abu Husain, M. K. Mohd Zaki, N. I. Mallahzadeh, H. Najafian, G. T Technology (General) Offshore structures are exposed to random wave loading in the ocean environment and hence the probability distribution of the extreme values of their response to wave loading is required for their safe and economical design. Wave loading on slender members of bottom-supported jacket structures is frequently calculated by Morison's equation. Due to nonlinearity of the drag component of Morison wave loading and also due to intermittency of wave loading on members in the splash zone, the response is often non-Gaussian; therefore, simple techniques for derivation of their extreme response probability distributions are not available. To this end, the conventional time simulation technique (CTS) is frequently used for predicting the probability distribution of the extreme values of response. However, this technique suffers from excessive sampling variability and hence a large number of simulated response extreme values (hundreds of simulated response records) are required to reduce the sampling variability to acceptable levels. In this paper, a more efficient version of the time simulation technique (ETS) is introduced to derive the probability distribution of response extreme values from a much smaller sample of simulated extreme values. The ETS procedure is found to be many times more efficient than the CTS method. Taylor and Francis Ltd. 2016 Article PeerReviewed Abu Husain, M. K. and Mohd Zaki, N. I. and Mallahzadeh, H. and Najafian, G. (2016) Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique. Ships and Offshore Structures, 11 (3). pp. 286-299. ISSN 1744-5302 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84916897508&doi=10.1080%2f17445302.2014.986877&partnerID=40&md5=d2d702242e38dc023f8aa226685d045d
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Abu Husain, M. K.
Mohd Zaki, N. I.
Mallahzadeh, H.
Najafian, G.
Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique
description Offshore structures are exposed to random wave loading in the ocean environment and hence the probability distribution of the extreme values of their response to wave loading is required for their safe and economical design. Wave loading on slender members of bottom-supported jacket structures is frequently calculated by Morison's equation. Due to nonlinearity of the drag component of Morison wave loading and also due to intermittency of wave loading on members in the splash zone, the response is often non-Gaussian; therefore, simple techniques for derivation of their extreme response probability distributions are not available. To this end, the conventional time simulation technique (CTS) is frequently used for predicting the probability distribution of the extreme values of response. However, this technique suffers from excessive sampling variability and hence a large number of simulated response extreme values (hundreds of simulated response records) are required to reduce the sampling variability to acceptable levels. In this paper, a more efficient version of the time simulation technique (ETS) is introduced to derive the probability distribution of response extreme values from a much smaller sample of simulated extreme values. The ETS procedure is found to be many times more efficient than the CTS method.
format Article
author Abu Husain, M. K.
Mohd Zaki, N. I.
Mallahzadeh, H.
Najafian, G.
author_facet Abu Husain, M. K.
Mohd Zaki, N. I.
Mallahzadeh, H.
Najafian, G.
author_sort Abu Husain, M. K.
title Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique
title_short Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique
title_full Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique
title_fullStr Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique
title_full_unstemmed Short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique
title_sort short-term probability distribution of the extreme values of offshore structural response by an efficient time simulation technique
publisher Taylor and Francis Ltd.
publishDate 2016
url http://eprints.utm.my/id/eprint/72646/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84916897508&doi=10.1080%2f17445302.2014.986877&partnerID=40&md5=d2d702242e38dc023f8aa226685d045d
_version_ 1643656488206467072
score 13.211869